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researcher

H. Shen

9 papers hereh-index 5188 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author6

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG1
  • eess.IV1
same name
  • H. Shen — 251 papers, h 17
  • H. Shen — 87 papers, h 3
  • H. Shen — 48 papers, h 84
  • H. Shen — 31 papers, h 25
  • H. Shen — 26 papers, h 6
  • H. Shen — 26 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBatchNorm-based Weakly Supervised Video Anomaly Detection

4 citations · 9 across the 9 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

4 papers · 2 filters

cs.CV2023★ 1 cited

Hierarchical Graph Pattern Understanding for Zero-Shot VOS

Gensheng Pei, Fumin Shen, Yazhou Yao +3

The optical flow guidance strategy is ideal for obtaining motion information of objects in the video. It is widely utilized in video segmentation tasks. However, existing optical f…

cs.CV2023★ 4 cited

BatchNorm-based Weakly Supervised Video Anomaly Detection

Yixuan Zhou, Yi Qu, Xing Xu +3

In weakly supervised video anomaly detection (WVAD), where only video-level labels indicating the presence or absence of abnormal events are available, the primary challenge arises…

cs.CV2023★ 3 cited

MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection

Yixuan Zhou, Xing Xu, Jingkuan Song +2

Unsupervised anomaly detection (UAD) attracts a lot of research interest and drives widespread applications, where only anomaly-free samples are available for training. Some UAD ap…

cs.CV2023

Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models

Jiabang He, Yi Hu, Lei Wang +4

Numerous pre-training techniques for visual document understanding (VDU) have recently shown substantial improvements in performance across a wide range of document tasks. However,…

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